Results 11 to 20 of about 2,411,480 (264)
Behavioral Science of Software Engineering [PDF]
IEEE Software, 2020 Large-scale software development is a sociotechnical activity only bounded by human imagination, ingenuity, and creativity. It involves teams of developers progressing by coordinating their activities and communicating their bottlenecks, goals, and advancements toward the wider goal of creating large, high-quality software systems.
Marian Petre +4 more
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Community Recommendations for Sustainable Scientific Software
Journal of Open Research Software, 2015 Science software has contributed to research practices, but the sustainability of scientific software presents challenges for the future use of research resources.
Robert R. Downs +4 more
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High-level Counterexamples for Probabilistic Automata [PDF]
Logical Methods in Computer Science, 2015 Providing compact and understandable counterexamples for violated system properties is an essential task in model checking. Existing works on counterexamples for probabilistic systems so far computed either a large set of system runs or a subset of the ...
Ralf Wimmer +3 more
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Open Science in Software Engineering [PDF]
, 2020 Open science describes the movement of making any research artefact available to the public and includes, but is not limited to, open access, open data, and open source. While open science is becoming generally accepted as a norm in other scientific disciplines, in software engineering, we are still struggling in adapting open science to the ...
Daniel Mendez +3 more
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Complexity, 2020 In recent years, a number of recombination operators have been proposed for multiobjective evolutionary algorithms (MOEAs). One kind of recombination operators is designed based on the Gaussian process model. However, this approach only uses one standard
Xunfeng Wu +5 more
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IEEE Access, 2021 In the decomposition-based multiobjective evolutionary algorithms (MOEA/Ds), a set of subproblems are optimized by using the evolutionary search to exploit the feasible regions.
Naili Luo +4 more
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A new energy-aware wireless sensor network evolution model based on complex network
EURASIP Journal on Wireless Communications and Networking, 2018 For solving the problem of heterogeneous node energy and low energy efficiency in wireless sensor networks (WSNs), an effective and dynamic self-organization evolution model by introducing a complex network model is proposed in this paper. In the process
Shujuan Cui +3 more
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Complexity, 2019 Decomposition-based multiobjective evolutionary algorithms (MOEA/Ds) have become increasingly popular in recent years. In these MOEA/Ds, evolutionary search is guided by the used weight vectors in decomposition function to approximate the Pareto front ...
Wu Lin +5 more
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Energy Harvesting-Based Smart Transportation Mode Detection System via Attention-Based LSTM
IEEE Access, 2019 Detecting the transportation mode of an individual's everyday travel provides useful information in urban design, real-time journey planning, and activity monitoring.
Weitao Xu +5 more
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Complexity, 2019 This paper proposes a constrained solution update strategy for multiobjective evolutionary algorithm based on decomposition, in which each agent aims to optimize one decomposed subproblem.
Yuchao Su +5 more
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